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Pew Finds Signs of AI on Roughly One-Third of Newer Web Pages

The analysis suggests automated writing or heavy AI editing is widespread on commercial sites and raises questions about how online content is identified and verified.

Overview

  • Pew Research Center’s Data Labs ran about 490,000 English-language pages through the Open Pangram detector and found that a July 2026 random sample showed AI signals on about 10% of pages and about 35% of pages published after ChatGPT’s November 2022 release.
  • The study used Common Crawl data and a probabilistic detector that flags both fully AI-generated text and human writing substantially edited with AI, so flagged pages span a spectrum from light edits to full generation.
  • AI signals are concentrated on commercial sites, with six-month averages of roughly 9.35% on .com pages, 4.59% on .org, 1.03% on .edu and 0.76% on .gov pages.
  • Pew identified rising linguistic fingerprints tied to AI style, including a near doubling of em dash use, a 63% jump in Oxford commas, and higher rates of specific words and negative-parallel phrasing.
  • Other teams report different magnitudes — some higher for newly published articles — and experts say measurement limits and growing AI editing features in tools make provenance, disclosure, search ranking, and fact checking the next policy and product priorities.